It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
AER’s FA Score shows that 2 FA rating(s) are green while.
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
AER’s TA Score shows that 2 TA indicator(s) are bullish.
AER (@Finance/Rental/Leasing) experienced а +0.37% price change this weekfor the same time period.
The average weekly price growth across all stocks in the @Finance/Rental/Leasing industry was +2.03%. For the same industry, the average monthly price growth was +1.34%, and the average quarterly price growth was +8.32%.
AER is expected to report earnings on Feb 06, 2026.
A leasing company (e.g. United Rentals, Inc. ) is typically the legal owner of the asset for the duration of the lease, while the lessee has operating control over the asset while also having some share of the economic risks and returns from the change in the valuation of the underlying asset. Per capita disposable income and corporate earnings or cash flow could be some of the critical metrics for this business – the higher the values of these metrics, the potentially greater ability of consumers/businesses to afford apartments/office spaces for rent. Other finance companies include credit/debit card payment processing companies (e.g. Visa Inc. and Mastercard), private label credit cards providers (e.g. Synchrony Financial) and automobile finance companies (e.g. Credit Acceptance Corporation).
AER | ||
|---|---|---|
OUTLOOK RATING 1..100 | 64 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 27 Undervalued | |
PROFIT vs RISK RATING 1..100 | 10 | |
SMR RATING 1..100 | 42 | |
PRICE GROWTH RATING 1..100 | 46 | |
P/E GROWTH RATING 1..100 | 64 | |
SEASONALITY SCORE 1..100 | 50 |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
| AER | DBEF | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 57% | 1 day ago 73% |
| Stochastic ODDS (%) | 1 day ago 49% | 1 day ago 62% |
| Momentum ODDS (%) | 1 day ago 52% | 1 day ago 83% |
| MACD ODDS (%) | 4 days ago 56% | 1 day ago 70% |
| TrendWeek ODDS (%) | 1 day ago 70% | 1 day ago 83% |
| TrendMonth ODDS (%) | 1 day ago 58% | 1 day ago 80% |
| Advances ODDS (%) | 14 days ago 70% | 15 days ago 82% |
| Declines ODDS (%) | 1 day ago 56% | 11 days ago 66% |
| BollingerBands ODDS (%) | 1 day ago 65% | 1 day ago 74% |
| Aroon ODDS (%) | 1 day ago 69% | 1 day ago 78% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| AMUB | 20.79 | 0.22 | +1.07% |
| UBS ETRACS Alerian MLP ETN Series B | |||
| PFFD | 19.26 | 0.02 | +0.10% |
| Global X US Preferred ETF | |||
| BULD | 28.18 | -0.58 | -2.03% |
| Pacer BlueStar Engineering the Fut ETF | |||
| AIFD | 37.10 | -0.87 | -2.28% |
| TCW Artificial Intelligence ETF | |||
| FLKR | 39.24 | -1.31 | -3.23% |
| Franklin FTSE South Korea ETF | |||
A.I.dvisor indicates that over the last year, AER has been closely correlated with AXP. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if AER jumps, then AXP could also see price increases.
A.I.dvisor indicates that over the last year, DBEF has been closely correlated with STM. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if DBEF jumps, then STM could also see price increases.
| Ticker / NAME | Correlation To DBEF | 1D Price Change % | ||
|---|---|---|---|---|
| DBEF | 100% | +0.70% | ||
| STM - DBEF | 77% Closely correlated | +5.28% | ||
| TEL - DBEF | 67% Closely correlated | -4.67% | ||
| MT - DBEF | 66% Closely correlated | -1.22% | ||
| SAN - DBEF | 65% Loosely correlated | +1.64% | ||
| AER - DBEF | 65% Loosely correlated | -0.31% | ||
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